Rural Residence and Factors Associated with Attendance at the Second High-Risk Infant Follow-up Clinic Visit for Very Low Birth Weight Infants in California.

OBJECTIVE: This study was aimed to determine factors associated with attendance at the second high-risk infant follow-up (HRIF) visit (V2) by 20 months of corrected age after a successful first visit (V1), and the impact of rural residence on attendance rates in a statewide population of very low birth weight (VLBW; <1,500 g) infants. STUDY DESIGN: Data linked from the California Perinatal Quality of Care Collaborative (CPQCC) Neonatal Intensive Care Unit (NICU) database and CPQCC-California Children's Services (CCS) HRIF database. Multivariable logistic regression evaluated independent associations of sociodemographic, maternal, family, neonatal clinical, and individual HRIF program differences (factors) with successful V2 in VLBW infants born in 2010 to 2012. RESULTS: Of 7,295 eligible VLBW infants, 75% (5,475) attended V2. Sociodemographic factors independently associated with nonattendance included maternal race of Black (adjusted odds ratio [aOR] = 0.61; 95% confidence interval [CI]: 0.5-0.75), public insurance (aOR = 0.79; 95% CI: 0.69-0.91), and rural residence (aOR = 0.74; 95% CI: 0.61-0.9). Factors identified at V1that were associated with V2 attendance included attending V1 within the recommended window (aOR = 2.34; 95% CI: 1.99-2.75) and early intervention enrollment (aOR = 1.39; 95% CI: 1.12-1.61). Neonatal factors associated with attendance included birth weight ≤750 g (aOR = 1.83; 95% CI: 1.48-2.5). There were significant program differences with risk-adjusted rates ranging from 43.7 to 99.7%. CONCLUSION: Sociodemographic disparities and HRIF program factors are associated with decreased attendance at V2 among VLBW infants. These findings highlight opportunities for quality and process improvement interventions starting in the NICU and continuing through transition to home and community to assure participation in HRIF. KEY POINTS: · Only 75% of VLBW infants attended the second HRIF visit.. · Those less likely to attend were Black or had rural residence.. · Infants in early intervention or attending first visit within recommended ages were more likely to attend..

Climate Change and State of the Science for Children's Health and Environmental Health Equity.

INTRODUCTION: Climate change is impacting the physical and mental health of children and families. This is a state of the science update regarding the impacts of climate change for pediatric-focused health care providers and advanced practice registered nurses. METHOD: Using an equity lens, the authors reviewed and synthesized current literature regarding the adverse impacts of climate change. RESULTS: The poor and communities of color are disproportionately impacted by climate change. Physical health impacts include increased vector and water-born infectious diseases, increases in asthma and respiratory infections, and undernutrition. Social disruptions lead to human trafficking. Climate change is associated with mental health concerns, including anxiety and posttraumatic stress after natural disasters. DISCUSSION: As clinicians, pediatric-focused providers, and advanced practice registered nurses should use multipronged and interdisciplinary approaches to address or prevent the adverse impacts of climate change. Advocacy at all government levels is necessary to safeguard children and vulnerable populations.

Lack of social support as measured by the Family Resource Scale screening tool is associated with early adverse cognitive outcome in extremely low birth weight children.

OBJECTIVE: Extremely low birth weight children are at high risk for cognitive impairment. STUDY DESIGN: Cognitive outcome of extremely low birth weight children participating in a Neonatal Research Network, randomized trial was evaluated at 18 and 30 months corrected age using the Bayley Scales of Infant Development, 2nd ed. Family resources and social support were assessed using a Family Resource Scale parent questionnaire. Regression analysis was used to determine independent demographic, medical, and family resource factors influencing longitudinal cognitive outcome. RESULT: Higher Family Resource Scale scores at 18 months were associated with greater improvement in cognitive scores between 18 and 30 months. Cognitive outcome was most adversely affected in children whose families had the least resources and social support. The adverse effect of poor social support was independent of family income. CONCLUSION: Poor interpersonal social support has an independent, adverse impact on cognitive outcomes of extremely low birth weight infants.

Factors Associated with Successful First High-Risk Infant Clinic Visit for Very Low Birth Weight Infants in California.

OBJECTIVES: To determine rates of at least 1 high-risk infant follow-up (HRIF) visit by 12 months corrected age, and factors associated with successful first visit among very low birth weight (VLBW) infants in a statewide population-based setting. STUDY DESIGN: We used the linked California Perinatal Quality of Care Collaborative and California Perinatal Quality of Care Collaborative-California Children's Services HRIF databases. Multivariable logistic regression examined independent associations of maternal, sociodemographic, neonatal clinical, and HRIF program factors with a successful first HRIF visit among VLBW infants born in 2010-2011. RESULTS: Among 6512 VLBW children referred to HRIF, 4938 (76%) attended a first visit. Higher odds for first HRIF visit attendance was associated with older maternal age (OR, 1.48; 95% CI, 1.27-1.72; 30-39 vs 20-29 years), lower birth weight (OR, 2.11; 95% CI, 1.69-2.65; ≤750 g vs 1251-1499 g), private insurance (OR, 1.65; 95% CI, 1.19-2.31), a history of severe intracranial hemorrhage (OR, 1.61; 95% CI, 1.12-2.30), 2 parents as primary caregivers (OR, 1.18, 95% CI 1.03-1.36), and higher HRIF program volume (OR, 2.62; 95% CI, 1.88-3.66; second vs lowest quartile); and lower odds with maternal race African American or black (OR, 0.65; 95% CI, 0.54-0.78), and greater distance to HRIF program (OR, 0.69; 95% CI, 0.57-0.83). Rates varied substantially across HRIF programs, which remained after risk adjustment. CONCLUSIONS: In a population-based California VLBW cohort, maternal, sociodemographic, and home- and program-level disparities were associated with HRIF non-attendance. These findings underscore the need to identify challenges in access and resource risk factors during hospitalization in the neonatal intensive care unit, provide enhanced education about the benefits of HRIF, and create comprehensive neonatal intensive care unit-to-home transition approaches.